Transcription software

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Transcription software assists in the conversion of human speech into a text transcript. Audio or video files can be transcribed manually or automatically. [1] Transcriptionists can replay a recording several times in a transcription editor and type what they hear. By using transcription hot keys, the manual transcription can be accelerated, the sound filtered, equalized or have the tempo adjusted when the clarity is not great. With speech recognition technology, transcriptionists can automatically convert recordings to text transcripts by opening recordings in a PC and uploading them to a cloud for automatic transcription, or transcribe recordings in real-time by using digital dictation. Depending on quality of recordings, machine generated transcripts may still need to be manually verified. The accuracy rate of the automatic transcription depends on several factors such as background noises, speakers' distance to the microphone, and accents.

Contents

Transcription software, as with transcription services, is often provided for business, legal, or medical purposes. Compared with audio content, a text transcript is searchable, takes up less computer memory, and can be used as an alternate method of communication, such as for subtitles and closed captions.

The definition of transcription "software", as compared with transcription "service", is that the former is sufficiently automated that a user can run the entire system without engaging outside personnel. However, the advent of software-as-a-service and cloud computing models blur this distinction. It uses artificial intelligence, machine learning and natural language processing to convert speech to text and continuously learn new phrases and accents. [2]

Development

Research at Google released a free android app Google Live Transcribe, it runs on Google Cloud. [3] [4] Google Chrome developed and has an available built in English Live Caption. [5] Google Docs, Google Translate, Google Assistant, GBoard Google Text to Speech engine support transcription tool too. [6] [7] [8] [9]

OpenAI launched Whisper, an open-source speech recognition deep learning model in September 2022. [10]

See also

Related Research Articles

Transcription in the linguistic sense is the systematic representation of spoken language in written form. The source can either be utterances or preexisting text in another writing system.

<span class="mw-page-title-main">Court reporter</span> Person who records live court testimony

A court reporter, court stenographer, or shorthand reporter is a person whose occupation is to capture the live testimony in proceedings using a stenographic machine or a stenomask, thereby transforming the proceedings into an official certified transcript by nature of their training, certification, and usually licensure. This can include courtroom hearings and trials, depositions and discoveries, sworn statements, and more.

Medical transcription, also known as MT, is an allied health profession dealing with the process of transcribing voice-recorded medical reports that are dictated by physicians, nurses and other healthcare practitioners. Medical reports can be voice files, notes taken during a lecture, or other spoken material. These are dictated over the phone or uploaded digitally via the Internet or through smart phone apps.

Real-time transcription is the general term for transcription by court reporters using real-time text technologies to deliver computer text screens within a few seconds of the words being spoken. Specialist software allows participants in court hearings or depositions to make notes in the text and highlight portions for future reference.

<span class="mw-page-title-main">Dictation machine</span> Device for recording human speech

A dictation machine is a sound recording device most commonly used to record speech for playback or to be typed into print. It includes digital voice recorders and tape recorder.

A transcription service is a business service that converts speech into a written or electronic text document. Transcription services are often provided for business, legal, or medical purposes. The most common type of transcription is from a spoken-language source into text. Common examples are the proceedings of a court hearing such as a criminal trial or a physician's recorded voice notes. Some transcription businesses can send staff to events, speeches, or seminars, who then convert the spoken content into text. Some companies also accept recorded speech, either on cassette, CD, VHS, or as sound files. For a transcription service, various individuals and organizations have different rates and methods of pricing. Transcription companies primarily serve private law firms, local, state, and federal government agencies and courts, trade associations, meeting planners, and nonprofits.

The transcription machine is a special purpose machine which is used for word or voice processing. This special device manages audio video recording to transcribe them into written or hard copy form. So transcription machines are combination of transcribers and dictation machines.

Real-time text (RTT) is text transmitted instantly as it is typed or created. Recipients can immediately read the message while it is being written, without waiting.

HTML5 Audio is a subject of the HTML5 specification, incorporating audio input, playback, and synthesis, as well as in the browser.

<span class="mw-page-title-main">Speech Recognition & Synthesis</span> Screen reader application by Google

Speech Recognition & Synthesis, formerly known as Speech Services, is a screen reader application developed by Google for its Android operating system. It powers applications to read aloud (speak) the text on the screen, with support for many languages. Text-to-Speech may be used by apps such as Google Play Books for reading books aloud, Google Translate for reading aloud translations for the pronunciation of words, Google TalkBack, and other spoken feedback accessibility-based applications, as well as by third-party apps. Users must install voice data for each language.

<span class="mw-page-title-main">Braina</span> Intelligent personal assistant & dictation software

Braina is a virtual assistant and speech-to-text dictation application for Microsoft Windows developed by Brainasoft. Braina uses natural language interface, speech synthesis, and speech recognition technology to interact with its users and allows them to use natural language sentences to perform various tasks on a computer in most languages of the world. The name Braina is a short form of “Brain Artificial”.

Voice writing is a method used for court reporting, medical transcription, CART, and closed captioning. Using the voice writing method, a court reporter speaks directly into a stenomask or speech silencer - a hand-held mask containing one or two microphones and voice-dampening materials. As the reporter repeats the testimony into the recorder, the mask prevents the reporter from being heard during testimony.

Speechmatics is a technology company based in Cambridge, England, which develops automatic speech recognition software (ASR) based on recurrent neural networks and statistical language modelling. Speechmatics was originally named Cantab Research Ltd when founded in 2006 by speech recognition specialist Dr. Tony Robinson.

Crowdsource is a crowdsourcing platform developed by Google intended to improve a host of Google services through the user-facing training of different algorithms.

<span class="mw-page-title-main">Voice computing</span> Discipline in computing

Voice computing is the discipline that develops hardware or software to process voice inputs.

<span class="mw-page-title-main">Otter.ai</span> Transcription software company

Otter.ai, Inc. is a Mountain View, California-based technology company that develops speech to text transcription applications using artificial intelligence and machine learning. Its software, called Otter, shows captions for live speakers, and generates written transcriptions of speech.

<span class="mw-page-title-main">Live Transcribe</span> Captioning application developed by Google for Android

Live Transcribe is a smartphone application to get realtime captions developed by Google for the Android operating system. Development on the application began in partnership with Gallaudet University. It was publicly released as a free beta for Android 5.0+ on the Google Play Store on February 4, 2019. As of early 2023 it had been downloaded over 500 million times. The app can be installed from an .apk file by sideloading and it will launch, but the actual transcription functionality is disabled, requiring creation of an account with Google.

InfraWare is an American technology company that focuses on speech transcription and other technologies for machine-assisted documentation. It has many users who work in the healthcare industry. It is headquartered in Terre Haute, Indiana.

Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022.

References

  1. "Transcription Functions | Transcribear". General Transcription Functions and Conventions, Audio Transcriptions. 2017-06-08. Retrieved 2019-02-15.
  2. Bhatt, Medha. "What is AI Transcription? Everything You Need to Know". fireflies.ai. Retrieved 3 June 2022.
  3. "Use Live Transcribe - Android Accessibility Help". support.google.com. Retrieved 2021-06-14.
  4. Butler, Sydney (2019-12-09). "How to transcribe speech using Google's Live Transcribe app". 9to5Google . Retrieved 2021-06-14.
  5. "Google Chrome's new Live Caption feature will transcribe speech in videos". techxplore.com. Retrieved 2021-06-14.
  6. "Now you can transcribe speech with Google Translate". Google. 2020-03-17. Retrieved 2021-06-14.
  7. Krasnoff, Barbara (2020-08-14). "How to use Google's free transcription tools". The Verge. Retrieved 2021-06-14.
  8. "Live Transcribe & Sound Notifications - Apps on Google Play". play.google.com. Retrieved 2021-06-14.
  9. "Google Rolling Out Real-Time Transcription and Translation for Gboard Users" . Retrieved 2021-06-14.
  10. Golla, Ramsri Goutham (2023-03-06). "Here Are Six Practical Use Cases for the New Whisper API". Slator. Archived from the original on 2023-03-25. Retrieved 2023-08-12.